opencv/modules/gapi/src/compiler/gmodel.hpp
Ruslan Garnov 54ff72a1cc Merge pull request #14599 from rgarnov:gapi_aux_kernels
G-API aux kernels (#14599)

* Removed gcpuimgproc.hpp and gcpucore.hpp

* Changed GModel::orderedInputs and orderedOutputs to get ConstGraph&

* Added auxiliaryKernels() method of GBackend::Priv
2019-05-22 21:13:13 +03:00

224 lines
6.4 KiB
C++

// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2018 Intel Corporation
#ifndef OPENCV_GAPI_GMODEL_HPP
#define OPENCV_GAPI_GMODEL_HPP
#include <memory> // shared_ptr
#include <unordered_map>
#include <functional> // std::function
#include <ade/graph.hpp>
#include <ade/typed_graph.hpp>
#include <ade/passes/topological_sort.hpp>
// /!\ ATTENTION:
//
// No API includes like GMat, GNode, GCall here!
// This part of the system is API-unaware by its design.
//
#include "opencv2/gapi/garg.hpp"
#include "opencv2/gapi/gkernel.hpp"
#include "compiler/gobjref.hpp"
#include "compiler/gislandmodel.hpp"
namespace cv { namespace gimpl {
// TODO: Document all metadata types
struct NodeType
{
static const char *name() { return "NodeType"; }
enum { OP, DATA } t;
};
struct Input
{
static const char *name() { return "Input"; }
std::size_t port;
};
struct Output
{
static const char *name() { return "Output"; }
std::size_t port;
};
struct Op
{
static const char *name() { return "Op"; }
cv::GKernel k;
std::vector<GArg> args; // TODO: Introduce a new type for internal args?
std::vector<RcDesc> outs; // TODO: Introduce a new type for resource references
cv::gapi::GBackend backend;
};
struct Data
{
static const char *name() { return "Data"; }
// FIXME: This is a _pure_ duplication of RcDesc now! (except storage)
GShape shape; // FIXME: Probably to be replaced by GMetaArg?
int rc;
GMetaArg meta;
HostCtor ctor; // T-specific helper to deal with unknown types in our code
// FIXME: Why rc+shape+meta is not represented as RcDesc here?
enum class Storage
{
INTERNAL, // data object is not listed in GComputation protocol
INPUT, // data object is listed in GComputation protocol as Input
OUTPUT, // data object is listed in GComputation protocol as Output
CONST, // data object is constant
};
Storage storage;
};
struct ConstValue
{
static const char *name() { return "ConstValue"; }
GRunArg arg;
};
// This metadata is valid for both DATA and OP kinds of nodes
// FIXME: Rename to IslandTag
struct Island
{
static const char *name() { return "Island"; }
std::string island; // can be set by user, otherwise is set by fusion
};
struct Protocol
{
static const char *name() { return "Protocol"; }
// TODO: Replace the whole thing with a "Protocol" object
std::vector<RcDesc> inputs;
std::vector<RcDesc> outputs;
std::vector<ade::NodeHandle> in_nhs;
std::vector<ade::NodeHandle> out_nhs;
};
struct OutputMeta
{
static const char *name() { return "OutputMeta"; }
GMetaArgs outMeta;
};
struct Journal
{
static const char *name() { return "Journal"; }
std::vector<std::string> messages;
};
// Unique data object counter (per-type)
class DataObjectCounter
{
public:
static const char* name() { return "DataObjectCounter"; }
int GetNewId(GShape shape) { return m_next_data_id[shape]++; }
private:
std::unordered_map<cv::GShape, int> m_next_data_id;
};
// A projected graph of Islands (generated from graph of Operations)
struct IslandModel
{
static const char* name() { return "IslandModel"; }
std::shared_ptr<ade::Graph> model;
};
// List of backends selected for current graph execution
struct ActiveBackends
{
static const char *name() { return "ActiveBackends"; }
std::unordered_set<cv::gapi::GBackend> backends;
};
namespace GModel
{
using Graph = ade::TypedGraph
< NodeType
, Input
, Output
, Op
, Data
, ConstValue
, Island
, Protocol
, OutputMeta
, Journal
, ade::passes::TopologicalSortData
, DataObjectCounter
, IslandModel
, ActiveBackends
>;
// FIXME: How to define it based on GModel???
using ConstGraph = ade::ConstTypedGraph
< NodeType
, Input
, Output
, Op
, Data
, ConstValue
, Island
, Protocol
, OutputMeta
, Journal
, ade::passes::TopologicalSortData
, DataObjectCounter
, IslandModel
, ActiveBackends
>;
// FIXME:
// Export a single class, not a bunch of functions inside a namespace
// User should initialize graph before using it
// GAPI_EXPORTS for tests
GAPI_EXPORTS void init (Graph& g);
GAPI_EXPORTS ade::NodeHandle mkOpNode(Graph &g, const GKernel &k, const std::vector<GArg>& args, const std::string &island);
GAPI_EXPORTS ade::NodeHandle mkDataNode(Graph &g, const GShape shape);
// Adds a string message to a node. Any node can be subject of log, messages then
// appear in the dumped .dot file.x
GAPI_EXPORTS void log(Graph &g, ade::NodeHandle op, std::string &&message, ade::NodeHandle updater = ade::NodeHandle());
GAPI_EXPORTS void log(Graph &g, ade::EdgeHandle op, std::string &&message, ade::NodeHandle updater = ade::NodeHandle());
GAPI_EXPORTS void linkIn (Graph &g, ade::NodeHandle op, ade::NodeHandle obj, std::size_t in_port);
GAPI_EXPORTS void linkOut (Graph &g, ade::NodeHandle op, ade::NodeHandle obj, std::size_t out_port);
GAPI_EXPORTS void redirectReaders(Graph &g, ade::NodeHandle from, ade::NodeHandle to);
GAPI_EXPORTS void redirectWriter (Graph &g, ade::NodeHandle from, ade::NodeHandle to);
GAPI_EXPORTS std::vector<ade::NodeHandle> orderedInputs (ConstGraph &g, ade::NodeHandle nh);
GAPI_EXPORTS std::vector<ade::NodeHandle> orderedOutputs(ConstGraph &g, ade::NodeHandle nh);
// Returns input meta array for given op node
// Array is sparse, as metadata for non-gapi input objects is empty
// TODO:
// Cover with tests!!
GAPI_EXPORTS GMetaArgs collectInputMeta(GModel::ConstGraph cg, ade::NodeHandle node);
GAPI_EXPORTS GMetaArgs collectOutputMeta(GModel::ConstGraph cg, ade::NodeHandle node);
GAPI_EXPORTS ade::EdgeHandle getInEdgeByPort(const GModel::ConstGraph& cg, const ade::NodeHandle& nh, std::size_t in_port);
// Returns true if the given backend participates in the execution
GAPI_EXPORTS bool isActive(const GModel::Graph &cg, const cv::gapi::GBackend &backend);
} // namespace GModel
}} // namespace cv::gimpl
#endif // OPENCV_GAPI_GMODEL_HPP